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bobaba99/motionlint

bobaba99/motionlint

Lint web animations with determinis
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add motionlint -- npx -y motionlint
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · bobaba99/motionlint · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 bobaba99/motionlint;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

MotionLint

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Score any page's animation quality in one command. No API key, no config.**
Deterministic — measured from the live page, no LLM involved. One-time prerequisite: npx playwright install chromium .
MotionLint measures the motion your app actually ships — durations, easing curves, stagger intervals, exit timing, reduced-motion support — and scores it against a published set of animation standards. Ease-in on a dropdown, a 600ms modal, a card that scales from 0, hover motion that fires on touch: all caught, all with the measured value and a concrete fix.
The audit is free and offline. Add an API key and MotionLint also does **vision-LLM design review** — multi-viewport screenshots and 50ms frame bursts of real user journeys, judged by a model and handed back to your coding agent as ranked findings. It runs as an MCP server inside Claude Code and Cursor.
Why this exists
AI coding agents read JSX, HTML, and CSS — they're blind to what the user actually sees, clicks, and watches animate. Rules in a prompt tell the agent what *should* happen; nothing checks what *did*. Modals that should slide in just pop; loading states get omitted; focus rings disappear. Code review can't catch any of this before merge, because none of it is visible in the diff.
MotionLint closes that loop: it measures the running app and feeds the verdict back.
How it's different
| | MotionLint | Visual regression tools (Percy, Chromatic, Playwright snapshots) | AI design generators (v0, Galileo, Claude Design, Stitch) |
| --- | --- | --- | --- |
| **Deterministic motion audit** | **13 checks, measured from the live page — no API key, $0** | ✗ | ✗ |
| Multi-viewport UX review | ranked findings across 12 dimensions | pixel diffs only | generates new layouts from prompts |
| **Animation review** | **50ms frame bursts via CDP screencast → contact sheet → LLM** | ✗ | ✗ |
| **Live animation tuning** | **Shadow-DOM previews + sliders + Claude Code export** | ✗ | generates new motion, doesn't tune what's there |
| Native MCP server | ✓ stdio MCP for Claude Code / Cursor | ✗ | varies |
| CI gate | ✓ SARIF + exit codes for code scanning | ✓ image diff thresholds | ✗ |
| Validated quality | **100% recall on a 24-fixture stress test, across 5 frontier models** | n/a | n/a |
The conceptual gap MotionLint closes: visual-regression tools catch what *changed* but not whether the new pixels are *good*; AI design tools generate from scratch but don't review what's already running. MotionLint reviews live behavior with a vision LLM and feeds the verdict back into the coding loop.
Start here — no API key needed
That's the whole setup for the audit. It's deterministic, runs offline, costs nothing, and works on any URL you can load — your dev server, a staging deploy, or someone else's site. Requires Node 18+.
The rules it checks are published in docs/STANDARDS.md — read them before you install anything.
Then: LLM design review
Set one API key (ANTHROPIC_API_KEY, OPENAI_API_KEY, or GOOGLE_API_KEY — or run Ollama locally for free) and three more commands unlock:
Inside Claude Code / Cursor
Full flag surface — CI gates, route discovery, Storybook, dark mode, baselines
Package on npm: motionlint.
Sample terminal output for a flow review:
Try the demo
A multi-route TS animation showcase ships in demo/ — covering Motion One, GSAP, anime.js, @formkit/auto-animate, and lottie-web — including a cat-themed one-pager that exercises every MotionLint capability in a single URL:
Routes available: /, /pricing, /signup, /dashboard, /loading, /cat. Reports go to .motionlint/reports/, screenshots to .motionlint/screenshots/, videos to .motionlint/videos/.
Setup
API keys
MotionLint auto-loads a .env file from the working directory at startup:
Real environment variables take precedence over .env. With no key set and no Ollama running, MotionLint falls back to a deterministic **mock provider** so the full pipeline (capture → analysis → report) still runs end-to-end for smoke tests.
Provider auto-detect
MotionLint auto-detects in this order: **Ollama (local) → Anthropic → OpenAI → Google**. The first one with a working API key (or running service) wins. Override with --provider and --model . See Providers in depth for the per-provider quality scorecard and how to pick.
---
> *Everything below is for readers who want to understand how MotionLint works under the hood, pick the right provider for their workflow, or wire it into CI.*
Validated quality across providers
来源
awesome · https://github.com/bobaba99/motionlint
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